Travel companies are deploying AI systems without adequate safeguards, creating friction points that degrade customer experience rather than enhance it. The pattern emerging across the sector reflects a broader industry problem: organisations are implementing conversational AI and automated support tools to reduce operational costs, but they're doing so without the foundational work required to make these systems effective. When chatbots fail to understand customer intent, escalation pathways break down, or AI systems provide incorrect information about bookings and cancellations, customers face compounded frustration—they've already wasted time with an automated system before reaching a human agent who must then untangle the mess. This creates a cascading cost structure that contradicts the original cost-saving rationale. For CX teams already managing Zendesk or Freshdesk implementations, this raises a critical question: are your AI-assisted routing and response systems actually reducing handle time, or are they simply shifting resolution burden downstream to your human agents?
The underlying issue is deployment velocity outpacing implementation rigour. TELUS Digital's research indicates two-thirds of enterprises are deploying AI without adequate safety nets, and travel companies exemplify this pattern—they've adopted AI to manage volume spikes and reduce headcount, but without the training data quality, fallback protocols, or human-in-the-loop oversight that determines whether automation improves or damages customer outcomes. The travel sector's complexity—variable pricing, regulatory constraints, real-time inventory changes—makes it particularly unforgiving of poorly calibrated AI. For support leaders evaluating whether to expand AI capabilities within existing platforms, the lesson is stark: implementation without proper governance creates what amounts to an "AI wall" between customers and resolution. The question becomes whether your organisation has the maturity to implement AI as a force multiplier for your team, or whether you're simply automating failure at scale.
The AI wall: How travel companies’ use of bad AI can ruin your travel experience Rio Grande Guardian